CN107605465B - Method for obtaining shale TOC (total organic carbon) parameters during well logging while drilling based on XRF (X-ray fluorescence) elements - Google Patents
Method for obtaining shale TOC (total organic carbon) parameters during well logging while drilling based on XRF (X-ray fluorescence) elements Download PDFInfo
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Abstract
The invention discloses a method for acquiring shale TOC parameters while drilling based on XRF element logging, which comprises the following steps: 1. mastering stratum characteristic information in a work area in a logging and/or experimental analysis mode, and performing data arrangement on the mastered stratum characteristic information according to the depth of the work area; 2. obtaining rock composition information in a work area region through XRF element logging, and comparing the obtained rock composition information with corresponding depths of the grasped stratum characteristic information according to the depths of the work area region, so that the grasped stratum characteristic information and the obtained rock composition information realize the homing processing of uniform depth, and a summarized data set of a uniform depth scale is formed; 3. selecting sensitive elements according to the shale TOC parameters needing to be acquired in the summarized data set; 4. and (3) performing data fitting by using a multivariate linear regression method, establishing a multivariate regression conversion model between the elements and the shale TOC parameters, and obtaining the shale TOC parameters through the conversion model.
Description
Technical Field
The invention relates to a method for obtaining shale evaluation parameters in logging operation, in particular to a method for obtaining shale TOC parameters in logging while drilling based on XRF elements.
Background
Logging operation is the most basic technology in oil and gas exploration and development activities, is the most timely and direct means for finding and evaluating oil and gas reservoirs, has the characteristics of timely and various underground information acquisition and rapid analysis and interpretation, and provides information service for drilling operation.
In the exploration and development activities of shale gas reservoirs, underground shale evaluation parameters need to be obtained in time, wherein a shale TOC parameter (namely a total organic carbon parameter in shale) is one of key parameters of interest, and the geological characteristics, reservoir formation factors and the like of the shale gas reservoirs can be comprehensively and integrally analyzed through the obtained shale TOC parameter, so that effective drilling information of shale gas wells can be obtained and mastered.
At present, the acquisition of the shale TOC parameters is mainly realized in a mode of logging measurement after drilling or laboratory test analysis. However, due to the complex reservoir forming factors of shale gas reservoirs, shale TOC parameters obtained by means of logging measurement after drilling or laboratory test analysis have the technical problems of time lag, high price, low cost performance and the like, and when the shale gas well is drilled by using the data, timely and reliable information support is difficult to provide for exploration and development of the shale gas well.
Disclosure of Invention
The technical purpose of the invention is as follows: aiming at the defects of the prior art, the method for acquiring the shale TOC parameter during the XRF element-based logging while drilling is provided, which can timely, quickly, accurately and reliably acquire the shale evaluation parameter T0C parameter and provide accurate, reliable and powerful information support for exploration and development of shale gas wells.
The technical scheme adopted by the invention for realizing the technical purpose is that a method for acquiring shale TOC parameters while drilling based on XRF element logging comprises the following steps:
step 1, mastering stratum characteristic information in a region of a work area in a logging and/or experimental analysis mode;
step 2, obtaining rock component information in a region of the work area through XRF element logging, and comparing the obtained rock component information with the grasped stratum characteristic information to obtain corresponding stratum layer position and depth, so that the grasped stratum characteristic information and the obtained rock component information realize unified position and depth homing processing, and a summarized data set of a unified depth scale is formed;
step 3, selecting sensitive elements according to the shale TOC parameters needing to be acquired in the summarized data set;
and 4, performing data fitting by using a multivariate linear regression method, and establishing a multivariate regression conversion model between the elements and the shale TOC parameter, wherein the conversion model is that TOC is β0+β1*X1+β2*X2+…+βk*XkIn the formula, β0、β1、β2…βkIs a regression coefficient, X1、X2…XkRespectively the contents of different elements;
and obtaining the TOC parameters of the shale through a conversion model.
In the step 2, the rock component information is compared with the stratum layer position and depth corresponding to the stratum characteristic information, the obtained rock component information is compared with the grasped stratum characteristic information according to the corresponding depth interpolation, or the grasped stratum characteristic information is compared with the obtained rock component information after being diluted according to the corresponding depth. As a preferable scheme, the comparison between the rock component information and the stratum layer position and depth corresponding to the stratum feature information in the step 2 is to compare the grasped stratum feature information with the obtained rock component information after thinning according to the corresponding depth.
And 3, selecting the sensitive elements, namely classifying the elements according to the correlation in a systematic clustering mode, selecting the classified elements according to a principal component analysis mode, and screening to obtain the corresponding sensitive elements.
Preferably, the sensitive elements at least comprise four elements of Si, S, Ca and Fe.
The beneficial technical effects of the invention are as follows: the method is based on XRF (X-ray fluorescence spectroscopy) element logging, so that a shale evaluation parameter-shale TOC parameter can be effectively and reliably obtained while drilling, the shale TOC parameter is relatively obtained in time, quickly, accurately and reliably, the shale T0C parameter obtained while drilling is used for guiding the drilling of the shale gas well, the method can provide quick, accurate, reliable and powerful information support for the exploration and development of the shale gas well, and the shale gas well is favorable for realizing high-efficiency and high-quality drilling.
Drawings
FIG. 1 is a graph of the calculated effect of shale TOC parameters versus XRF elements for a pilot well, a YY2 well.
Detailed Description
The invention relates to a method for obtaining shale evaluation parameters in logging operation, in particular to a method for obtaining shale TOC parameters in logging while drilling based on XRF elements. The technical content of the present invention will be described in detail and clearly by way of a plurality of examples.
Example 1
The invention comprises the following sequential steps:
step 1, mastering stratum characteristic information in a shale gas reservoir work area in a logging and/or experimental analysis mode, and performing data arrangement by taking the grasped stratum characteristic information as a scale for data arrangement according to the depth of the shale gas reservoir work area;
step 2, performing logging operation on the work area region of the shale gas reservoir, wherein the logging operation is realized in an XRF element logging while drilling mode, obtaining rock component information in the work area region of the shale gas reservoir, and performing data arrangement by taking the obtained rock component information as a scale for data arrangement according to the depth of the work area region;
taking the depth of the work area region of the shale gas reservoir as a scale, and comparing the obtained rock composition information with the grasped stratum characteristic information to obtain the corresponding stratum horizon and depth; when the corresponding stratum layer and depth are compared, because the data obtained by different methods have different measuring intervals and different depths, the grasped stratum characteristic information needs to be thinned according to the corresponding depth, so that part of the grasped stratum characteristic information is discarded, but the obtained rock component information is completely reserved, and under a unified depth scale, the two data information are compared to realize unified depth homing processing on the grasped stratum characteristic information and the obtained rock component information, so that a summarized data set of the unified depth scale is formed;
step 3, selecting sensitive elements aiming at the shale TOC parameters to be acquired in the summarized data set, wherein the sensitive elements at least comprise but are not limited to Si, S, Ca and Fe; the sensitive elements are selected by firstly classifying the elements according to the correlation in a systematic clustering mode, then selecting the classified elements according to a principal component analysis mode, and screening to obtain the final corresponding sensitive elements;
and 4, performing data fitting by using a multiple linear regression method, and establishing a multiple regression conversion model between the elements and the shale TOC parameters, wherein the conversion model comprises the following steps:
TOC＝β0+β1*X1+β2*X2+…+βk*Xk；
wherein TOC is a shale TOC parameter (i.e., a total organic carbon parameter in shale);
β0、β1、β2…βkis a regression coefficient;
X1、X2…Xkrespectively the contents of different elements;
and obtaining the TOC parameters of the shale through the conversion model.
The invention is explained in more detail below with reference to the test data.
The invention carries out test on a Longmaxiong section of stratum of YY2 well in Yongchuan working area, the source of the TOC parameter of shale is the analysis result of DH2020 type geochemical logging instrument, the element data is analyzed by CIT-3000SY type element logging instrument, 159 rock core samples are analyzed totally, the sampling interval is 0.50-1.00 m, the measured elements comprise Mg (magnesium), Al (aluminum), Si (silicon), P (phosphorus), S (sulfur), Mn (manganese), Fe (iron),
More than 20 kinds of K (potassium), Ti (titanium), Ca (calcium), Cl (chlorine), V (vanadium), etc.
The idea and the process of the test are as follows: the elements are the most basic units of rock chemical composition, and the calculation while drilling of the shale TOC parameters can be realized by establishing a mathematical function between the elements and the shale TOC parameters; however, the rock components are complex, so that the obvious collinearity problem exists, and a specific algorithm is required to be used for optimization or boundary constraint according to regional characteristics, so that the rock components are difficult to directly popularize and apply to other regions; thus, the basic idea is to establish a conversion model between elements and shale TOC parameters through mathematical fitting by comparing XRF element logging with shale TOC parameter analysis data of rock pyrolysis logging; the calculation process is to carry out mathematical fitting analysis through multiple linear regression and establish a mathematical model between elements and the shale TOC parameters.
The while-drilling calculation method of the shale TOC parameters comprises the following steps:
(1) acquiring TOC and XRF element analysis data of the experimental well;
TOC, elemental data for YY2 wells are shown in Table 1;
TABLE 1 YY2 well TOC and element data sheet
(2) Establishment of conversion model
And (3) performing data fitting by adopting a multiple linear regression method, wherein the expression of a multiple regression model is as follows:
TOC＝β0+β1*X1+β2*X2+…+βk*Xk；
in the formula, β0，β1，β2…,βkIs a regression coefficient;
X1，X2，…，Xkrespectively with different element contents;
the optimization of the mathematical model is developed by applying a stepwise regression method (StepwisReggression) to determine an optimal model; the full model containing all elements is called MpAt MpOn the basis of the method, one element is reduced, and a new model which only contains p-1 elements is established as Mp-1At Mp-1On the basis of the model, one element is reduced again, and a new model M only containing p-2 elements is establishedp-2Repeating the process of model establishment p times by analogy to obtain p models, and comparing the correlation coefficient R of each model2Selecting R2The larger model is used as an alternative model, and the geological significance of TOC is analyzed and not completely according to R2As a preferred basis, the constraint of the model boundary is properly carried out, and an optimal mathematical model is selected from the constraint, wherein a specific calculation model is shown in table 2;
TABLE 2 TOC calculation model
| TOC calculation model | Coefficient of correlation (R)2) |
| y＝f(Mg,Al,Si,P,S,Cl,K,Ca,Ti,V,Cr,Mn,Fe,Co,Cu) | 0.8733 |
| y＝f(Mg,Al,Si,P,S,Cl,K,Ca,Ti,V,Cr,Mn,Fe,Cu) | 0.87416 |
| y＝f(Mg,Al,Si,P,S,Cl,K,Ca,Ti,V,Cr,Mn,Fe) | 0.87444 |
| y＝f(Mg,Al,Si,P,S,Cl,K,Ca,Ti,Cr,Mn,Fe) | 0.87051 |
| y＝f(Mg,Al,Si,P,S,K,Ca,Ti,Cr,Mn,Fe) | 0.87099 |
| y＝f(Mg,Al,Si,P,S,K,Ca,Ti,Mn,Fe) | 0.86906 |
| y＝f(Mg,Al,Si,S,K,Ca,Ti,Mn,Fe) | 0.86766 |
| y＝f(Mg,Al,Si,S,K,Ca,Ti,Fe) | 0.86731 |
| y＝f(Mg,Al,Si,S,K,Ca,Fe) | 0.8631 |
| y＝f(Al,Si,S,K,Ca,Fe) | 0.86291 |
| y＝f(Al,Si,S,Ca,Fe) | 0.85715 |
| y＝f(Si,S,Ca,Fe) | 0.85095 |
| y＝f(Si,S,Fe) | 0.75608 |
| y＝f(Si,Fe) | 0.44939 |
Different element combinations are adopted, and correlation coefficients of mathematical models of the element combinations are different;
for the convenience of model application, the basis for selecting the mathematical model at this time is as follows: not exactly according to R2Is based on the size of (1), but in the case of ensuring R2On the premise of larger element, a formula with fewer elements is preferentially selected; the correlation coefficient of the calculation model of four elements of Si, S, Ca and Fe is 0.85095, compared with the calculation model of more than 10 elements, the correlation coefficient is only reduced by 0.02, while the correlation coefficient of the mathematical calculation model adopting three elements of Si, S and Fe is 0.756, which is reduced by 0.1 compared with the correlation coefficient of the previous model, reflecting that the four elements of Si, S, Ca and Fe are essential elements for calculating the TOC, so the YY2 well TOC calculation model adopts the elements of Si, S, Ca and Fe, and the specific formula is as follows:
TOC＝-3.74848+0.11582*Si+1.944*S+0.24225*Ca-0.66147*Fe；
wherein, Si, S, Ca and Fe are percentage values measured by sample XRF;
the comparison of the calculated TOC and rock pyrolysis logging TOC is shown in FIG. 1, and it can be seen from the graph that although some deviation exists between the fitting result of the XRF element of the YY2 well and the original TOC, the overall trend is basically consistent, and the calculation model can meet the requirement of shale TOC evaluation without influencing the reliability of the evaluation.
Example 2
The invention comprises the following sequential steps:
step 1, mastering stratum characteristic information in a shale gas reservoir work area in a logging and/or experimental analysis mode, and performing data arrangement by taking the grasped stratum characteristic information as a scale for data arrangement according to the depth of the shale gas reservoir work area;
step 2, performing logging operation on the work area region of the shale gas reservoir, wherein the logging operation is realized in an XRF element logging while drilling mode, obtaining rock component information in the work area region of the shale gas reservoir, and performing data arrangement by taking the obtained rock component information as a scale for data arrangement according to the depth of the work area region;
taking the depth of the work area region of the shale gas reservoir as a scale, and comparing the obtained rock component information with the grasped stratum characteristic information by corresponding depth; when the corresponding depths are compared, because the data obtained by different methods have different measurement intervals and are not uniform in depth, the obtained rock component information needs to be interpolated according to the corresponding depths, so that logging data, namely the grasped formation characteristic information, is completely utilized, but the obtained rock component information needs to be artificially interpolated, and thus, under a uniform depth scale, the data information of the two is compared, so that the grasped formation characteristic information and the obtained rock component information realize the homing processing of the uniform depth, and a summarized data set of the uniform depth scale is formed;
step 3, selecting sensitive elements aiming at the shale TOC parameters to be acquired in the summarized data set, wherein the sensitive elements at least comprise but are not limited to Si, S, Ca and Fe; the sensitive elements are selected by firstly classifying the elements according to the correlation in a systematic clustering mode, then selecting the classified elements according to a principal component analysis mode, and screening to obtain the final corresponding sensitive elements;
and 4, performing data fitting by using a multiple linear regression method, and establishing a multiple regression conversion model between the elements and the shale TOC parameters, wherein the conversion model comprises the following steps:
TOC＝β0+β1*X1+β2*X2+…+βk*Xk；
wherein TOC is a shale TOC parameter (i.e., a total organic carbon parameter in shale);
β0、β1、β2…βkis a regression coefficient;
X1、X2…Xkrespectively the contents of different elements;
and obtaining the TOC parameters of the shale through the conversion model.
Although the shale TOC parameter can be obtained while drilling based on XRF element logging in this embodiment, since the heterogeneity of the shale in the longitudinal direction is strong, interpolation processing is performed on the obtained rock component information according to the corresponding depth in step 2, it is difficult to find a reliable interpolation algorithm, and the reliability of interpolation cannot be verified, which is not the preferred technical scheme of the present invention in this embodiment.
The above examples are intended to illustrate the invention, but not to limit it; although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: the present invention may be modified from the embodiments described above or substituted for some of the technical features, and such modifications or substitutions do not depart from the spirit and scope of the present invention.
Claims (4)
1. A method for obtaining shale TOC parameters while drilling based on XRF element logging comprises the following steps:
step 1, mastering stratum characteristic information in a region of a work area in a logging and/or experimental analysis mode;
step 2, obtaining rock component information in a region of the work area through XRF element logging, and comparing the obtained rock component information with the grasped stratum characteristic information to obtain corresponding stratum layer position and depth, so that the grasped stratum characteristic information and the obtained rock component information realize unified position and depth homing processing, and a summarized data set of a unified depth scale is formed;
step 3, selecting sensitive elements according to the shale TOC parameters needing to be acquired in the summarized data set;
and 4, performing data fitting by using a multiple linear regression method, and establishing a multiple regression conversion model between the elements and the shale TOC parameters, wherein the conversion model is as follows:
TOC=β0+β1*X1+β2*X2+…+βk*Xk；
in the formula, β0、β1、β2…βkIs a regression coefficient;
X1、X2…Xkrespectively the contents of different elements;
and obtaining the TOC parameters of the shale through a conversion model.
2. The method for obtaining shale TOC parameters during logging while drilling based on XRF element as claimed in claim 1 wherein the comparison of rock composition information with the corresponding formation horizon and depth of formation characteristic information in step 2 is that the obtained rock composition information is interpolated in the learned formation characteristic information according to the corresponding depth or the learned formation characteristic information is diluted according to the corresponding depth and then compared with the obtained rock composition information.
3. The method for obtaining shale TOC parameters while drilling based on XRF element logging as claimed in claim 1 wherein the sensitive element selection in step 3 is that the elements are classified according to correlation in a systematic clustering manner, then the classified elements are selected according to principal component analysis manner, and the corresponding sensitive elements are obtained by screening.
4. The method for acquiring shale TOC parameters while drilling based on XRF element logging as claimed in claim 1 or 3 wherein said sensitive elements comprise at least four elements of Si, S, Ca and Fe.
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| CN112147711A (en) * | 2019-06-28 | 2020-12-29 | 中国石油化工股份有限公司 | Method and system for rapidly acquiring marine shale total organic carbon in field |
| CN111352162A (en) * | 2020-03-19 | 2020-06-30 | 中国石油天然气集团有限公司 | Shale stratum element phase dividing method and element phase evaluation method |
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| CN114076776A (en) * | 2020-08-12 | 2022-02-22 | 中国石油化工股份有限公司 | Method for predicting organic carbon content of shale and application thereof |
| CN114427451A (en) * | 2020-09-11 | 2022-05-03 | 中国石油化工股份有限公司 | Method for obtaining shale reservoir static parameters based on while-drilling data |
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Effective date of registration: 20220130 Address after: 100027 Chaoyangmen North Street, Chaoyang District, Chaoyang District, Beijing Patentee after: SINOPEC Group Patentee after: SINOPEC OILFIELD SERVICE Corp. Patentee after: Sinopec Jingwei Co.,Ltd. Patentee after: Southwest measurement and control company of Sinopec Jingwei Co.,Ltd. Patentee after: Southwest logging branch of Sinopec Jingwei Co.,Ltd. Address before: 100101 No.9, jishikou Road, Chaoyang District, Beijing Patentee before: SINOPEC OILFIELD SERVICE Corp. Patentee before: Geological logging branch of Sinopec Southwest Petroleum Engineering Co., Ltd |